Including Maximum Sustained Wind Speed in a Time Series Model to Forecast Hurricane Movement

Abstract

Techniques for applying time series fundamentals to forecasting hurricane movement are thoroughly examined in this research. The objectives are: (1) to modify Dr. Thomas Curry's threshold autoregressive time series model to improve its ability to forecast hurricane movement, (2) to forecast the maximum sustained wind speed for a hurricane, and (3) to identify if wind speed should be included as an explanatory variable to aid in forecasting hurricane movement. Eleven different models to predict the latitude, longitude and maximum sustained wind speed are compared and contrasted with Curry's bivariate time series model. The results showed the modifications allow significant forecasting improvement to Curry's model in the 6-, 12-, 24-, 48- and 72-hour forecasts. The model recommended by this research shows a significant improvement in mean and variance of the overall forecast errors.... Hurricane forecasting, Times series.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1993
Accession Number
ADA262510

Entities

People

  • Timothy B. Mott

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computational Science
  • Computers
  • Data Sets
  • Databases
  • Delphi Method
  • Grids
  • Information Science
  • Latitude
  • Longitude
  • Mathematical Models
  • Maximum Likelihood Estimation
  • Measurement
  • Regression Analysis
  • Standards
  • Statistics
  • Test Sets
  • United States

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Fluid Dynamics.
  • Statistical inference.